چکیده مقاله
Corrosion in oil pipelines is a critical challenge that threatens the safety, sustainability, and economicviability of the global petroleum industry With pipelines exposed to harsh environmental conditions,managing corrosion has become essential to prevent operational failures and costly disasters Electrochemical methods have emerged as cutting edge solutions, offering real time precision in monitoringthe degradation of pipeline materials Techniques such as potentiodynamic polarization, electrochemicalimpedance spectroscopy EIS , and linear polarization resistance LPR provide valuable insights intocorrosion rates and the performance of protective systems This review examines these methods whileexploring how innovations in artificial intelligence AI and nanotechnology are enhancing their capabilities AI driven analytics enable predictive maintenance by processing vast sensor data, while nanomaterial basedsensors offer higher sensitivity, detecting corrosion earlier than ever before By integrating these advances,the oil industry is shifting from reactive to proactive corrosion management, ultimately extending the lifespanof pipeline infrastructure and reducing risks This paper synthesizes the latest research to provide a roadmapfor the adoption of advanced electrochemical monitoring systems, essential for the long term safety andreliability of oil pipelines
کلیدواژهها
نویسندگان
Mohammad Mehrdar
Amirkabir University of Technology Tehran Polytechnic , Corrosion Engineering and Material ProtectionGroup, Tehran, Iran
شیوه ارجاع
Mehrdar, Mohammad,1403,Electrochemical Methods for Monitoring Corrosion in OilPipelines: A Comprehensive Review,Third International Congress for Chemical Engineering and Petroleum Industry students,Tehran
ارائهشده در
مجموعه مقالات سومین کنگره بین المللی دانشجویان مهندسی شیمی و صنعت نفت29 آبان 1403 · تهران